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- Reinforcement Learning Algorithms COURSE SCHEDULE: April 1, 2026 - April 28, 2026 Number of available GSI positions: 1 position at .25 fraction, pending enrollment Number of positions reserved for PhD Students as
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interests, including both scientific topics and algorithm/software development; Potential synergies with ongoing research at the University of Michigan with at least 2 professors on campus applying
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Experience with NGS analysis pipelines, algorithms, and workflows, including bulk DNA/RNA-Seq and single-cell analysis Exposure to clinical data standards (HL7, FHIR, OMOP, DICOM) and experience working with
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) that will make use of various machine learning algorithms for attack vectors and vulnerabilities, such as intrusion detection, malware analysis, spam filters, anomaly detection, etc. Supervised, unsupervised
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actively seeking enthusiastic and innovative early-career researchers to join our Algorithm Core team. The successful candidate will engage in cutting-edge research in applied mathematics, focusing
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, file system implementations, I/O, deadlocks, distributed systems, synchronization, distributed file systems, case studies. Graded ABCDE CSC 575 - Algorithm and Complexity Analysis Graduate standing. (4
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, scientific computing and data visualization is required. Programming languages: Python, C/C++, Java Strong skills in Linux shell (e.g. bash) scripting Strong knowledge of data structures and algorithms
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field, have a strong record of research productivity (e.g., publications and software) in mass spectrometry-based proteomics, and possess substantial experience developing algorithms and pipelines
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that includes conducting arrhythmia analysis. Interpret and document cardiac rhythms as directed by established patient care algorithms and quality assurance standards.\ Communicate with nursing units regarding
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big data and algorithmic decision-making have become more commonplace. Each week, students will have the opportunity to try their hand at analyzing big data from sources ranging from online dating